AI and global science and technology assessment

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

The five essays on global science and technology S&T assessment from distinguished experts in knowledge mapping, scientometrics, information visualization, digital libraries, and multilingual knowledge management has been discussed. The first essay, 'China S&T Assessment' proposes three fundamental S&T assessment metrics and shows the Chinese emphasis on the physical and engineering sciences and its significant research productivity gains. The another essay, 'Open Data and Open Code for S&T Assessment', introduces science maps to help humans mentally organize, access, and manage complex digital library collections. The essay, 'Global S&T Assessment by Analysis of Large ETD Collections introduce the highly successful Networked Digital Library of Theses and Dissertations (NDLTD) project. The final essay, 'Managing Multilingual S&T Knowledge' describes a research framework for cross-lingual and polylingual text categorization and category integration.

Original languageEnglish (US)
Pages (from-to)68-71
Number of pages4
JournalIEEE Intelligent Systems
Volume24
Issue number4
StatePublished - Jul 2009

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Digital libraries
Knowledge management
Visualization
Productivity

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications

Cite this

AI and global science and technology assessment. / Chen, Hsinchun.

In: IEEE Intelligent Systems, Vol. 24, No. 4, 07.2009, p. 68-71.

Research output: Contribution to journalArticle

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